{"id":"https://openalex.org/W1908256783","doi":"https://doi.org/10.1142/s179353691550003x","title":"Bandpass Empirical Mode Decomposition Using a Rolling Ball Algorithm","display_name":"Bandpass Empirical Mode Decomposition Using a Rolling Ball Algorithm","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1908256783","doi":"https://doi.org/10.1142/s179353691550003x","mag":"1908256783"},"language":"en","primary_location":{"id":"doi:10.1142/s179353691550003x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s179353691550003x","pdf_url":null,"source":{"id":"https://openalex.org/S16439242","display_name":"Advances in Adaptive Data Analysis","issn_l":"1793-5369","issn":["1793-5369","1793-7175"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Adaptive Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101659527","display_name":"Adam Huang","orcid":"https://orcid.org/0000-0001-5478-2763"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Adam Huang","raw_affiliation_strings":["Research Center for Adaptive Data Analysis, National Central University, Jhongli 32001, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Adaptive Data Analysis, National Central University, Jhongli 32001, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072446928","display_name":"Min-Yin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Yin Liu","raw_affiliation_strings":["Graduate Institute of Systems Biology and Bioinformatics, National Central University, Jhongli 32001, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute of Systems Biology and Bioinformatics, National Central University, Jhongli 32001, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011713162","display_name":"Wei-Te Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Te Yu","raw_affiliation_strings":["Department of Physics, National Central University, Jhongli 32001, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Physics, National Central University, Jhongli 32001, Taiwan","institution_ids":["https://openalex.org/I22265921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101659527"],"corresponding_institution_ids":["https://openalex.org/I22265921"],"apc_list":null,"apc_paid":null,"fwci":1.0098,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78916369,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"07","issue":"01n02","first_page":"1550003","last_page":"1550003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.8536837100982666},{"id":"https://openalex.org/keywords/ball","display_name":"Ball (mathematics)","score":0.7651141285896301},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6771830320358276},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6594448089599609},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6328518390655518},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5072867274284363},{"id":"https://openalex.org/keywords/band-pass-filter","display_name":"Band-pass filter","score":0.5022096633911133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3730912208557129},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3687765896320343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22456389665603638},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16837379336357117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1601807177066803},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.15209126472473145},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.13159066438674927},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08194965124130249}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.8536837100982666},{"id":"https://openalex.org/C122041747","wikidata":"https://www.wikidata.org/wiki/Q838611","display_name":"Ball (mathematics)","level":2,"score":0.7651141285896301},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6771830320358276},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6594448089599609},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6328518390655518},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5072867274284363},{"id":"https://openalex.org/C147788027","wikidata":"https://www.wikidata.org/wiki/Q2718101","display_name":"Band-pass filter","level":2,"score":0.5022096633911133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3730912208557129},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3687765896320343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22456389665603638},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16837379336357117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1601807177066803},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.15209126472473145},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.13159066438674927},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08194965124130249},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s179353691550003x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s179353691550003x","pdf_url":null,"source":{"id":"https://openalex.org/S16439242","display_name":"Advances in Adaptive Data Analysis","issn_l":"1793-5369","issn":["1793-5369","1793-7175"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Adaptive Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W6563719","https://openalex.org/W1585939719","https://openalex.org/W1973048907","https://openalex.org/W1979732575","https://openalex.org/W2007221293","https://openalex.org/W2009797575","https://openalex.org/W2013065248","https://openalex.org/W2013475848","https://openalex.org/W2027753389","https://openalex.org/W2071122929","https://openalex.org/W2078290150","https://openalex.org/W2083355945","https://openalex.org/W2085492612","https://openalex.org/W2088202114","https://openalex.org/W2098395403","https://openalex.org/W2103576720","https://openalex.org/W2106665847","https://openalex.org/W2120390927","https://openalex.org/W2123402141","https://openalex.org/W2125056386","https://openalex.org/W2138402108","https://openalex.org/W2151631165","https://openalex.org/W2160097539"],"related_works":["https://openalex.org/W2049503885","https://openalex.org/W2122042164","https://openalex.org/W2382290278","https://openalex.org/W1588025279","https://openalex.org/W2380451229","https://openalex.org/W2807533047","https://openalex.org/W1908256783","https://openalex.org/W1984349868","https://openalex.org/W1622369962","https://openalex.org/W2971588278"],"abstract_inverted_index":{"We":[0],"propose":[1],"using":[2],"a":[3,9,12,22,26],"rolling":[4],"ball":[5,10,32],"algorithm,":[6,73],"which":[7],"moves":[8],"along":[11],"time":[13],"series":[14],"signal,":[15,39],"to":[16,25,43,49,63,77],"sort":[17],"the":[18,31,38,45,57,68,79],"local":[19],"extrema":[20,47],"within":[21],"signal":[23],"according":[24,48],"geometric":[27],"tangibility":[28],"criterion.":[29],"Letting":[30],"always":[33],"roll":[34],"above":[35],"or":[36,53],"below":[37],"we":[40,74],"are":[41,75],"able":[42,76],"classify":[44],"signal\u2019s":[46],"their":[50],"tangibility:":[51],"touched":[52,55],"not":[54],"by":[56],"ball.":[58],"Applying":[59],"this":[60],"ball-tangibility":[61],"information":[62],"select":[64],"an":[65],"extremum":[66],"in":[67,83],"empirical":[69],"mode":[70,80,89],"decomposition":[71],"(EMD)":[72],"prevent":[78],"mixing":[81],"problem":[82],"analyzing":[84],"intermittent":[85],"signals":[86],"and":[87],"decompose":[88],"functions":[90],"satisfying":[91],"bandpass":[92],"filtering":[93],"properties.":[94]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
